AI Engineer, Data Scientist

🕒 May 29

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 40%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Simpliigence

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2020

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Simpliigence is a Salesforce-focused technology consulting and services firm that helps enterprises and growing companies design, implement, and operate Salesforce solutions. The company provides tailored engagement models — Enterprise By Design, Concierge By Design, Placement By Design — delivering architecture and solution design, system optimization, certified talent placement (embedded, fractional, or full-delivery), and 24/7 global support. Simpliigence emphasizes using out-of-the-box Salesforce features where possible to speed delivery, improve adoption, and sustain long-term value for B2B clients and large organizations.

📋 Description

• Architect and ship production-grade LLM applications • Design RAG pipelines that actually work at scale • Collaborate closely with product and engineering to own problems end-to-end • Design, build, and deploy AI models, tools, and agents • Partner with the Head of Data & AI to define the technical architecture • Implement retrieval augmented generation (RAG) pipelines • Design and implement Model Context Protocol (MCP) integrations • Build and maintain MCP servers • Establish patterns for MCP host/client configuration, access control, and observability • Implement MLOps and LLMOps practices • Collaborate with data engineers and platform teams

🎯 Requirements

• 5+ years of experience in IT Services • Core skills we need Python (expert) • LLMs & GenAI • RAG systems • Prompt engineering • AWS ML / MLOps • Vector DBs • Model versioning • REST APIs • Docker / containers • 6+ years of hands-on Python • Proven experience building and shipping LLM-powered applications • Deep understanding of RAG • Strong prompt engineering skills • Hands-on AWS experience • Solid ML fundamentals • Comfortable with embedding models • Nice to have: Experience with agentic frameworks • Fine-tuning experience • Familiarity with evaluation frameworks • MLOps tooling

🏖️ Benefits

• Professional development opportunities • Remote work options